WEBVTT - Meta Turns to Nuclear Power to Run AI

0:00:00.800 --> 0:00:05.120
<v Speaker 1>From the heart of where innovation, money and power collide

0:00:05.320 --> 0:00:10.600
<v Speaker 1>in Silicon Valley and beyond. This is Bloomberg Technology with

0:00:10.760 --> 0:00:12.240
<v Speaker 1>Caroline Hyde.

0:00:11.840 --> 0:00:13.320
<v Speaker 2>And Ed Ludlow.

0:00:26.760 --> 0:00:28.960
<v Speaker 3>Now from New York and San Francisco. This is Bloomberg

0:00:29.000 --> 0:00:32.960
<v Speaker 3>Technology coming up. Meta goes nuclear and buys nuclear power

0:00:32.960 --> 0:00:35.800
<v Speaker 3>from Constellation Energy for its AI needs.

0:00:36.520 --> 0:00:39.400
<v Speaker 4>Plus Elon Musk selling five billion dollars in debt for

0:00:39.440 --> 0:00:43.600
<v Speaker 4>his own AI startup, Xai, with Morgan Stanley shopping that debt.

0:00:43.640 --> 0:00:46.839
<v Speaker 3>And we sit down with Drew Baglino, former Tesla executive,

0:00:46.960 --> 0:00:49.280
<v Speaker 3>who's out with his new startup, Heron.

0:00:49.680 --> 0:00:50.680
<v Speaker 2>But first we check in on.

0:00:50.680 --> 0:00:52.960
<v Speaker 3>These markets and look energy dictating trade in many ways

0:00:52.960 --> 0:00:54.760
<v Speaker 3>in the tech news, but there's energy in some of

0:00:54.760 --> 0:00:55.320
<v Speaker 3>the benchmarks.

0:00:55.320 --> 0:00:58.600
<v Speaker 2>We're looking at NASDAC now up six ten percent ed.

0:00:58.920 --> 0:01:01.520
<v Speaker 3>This is as we see the job stub must coming in,

0:01:01.720 --> 0:01:05.640
<v Speaker 3>showing resilience for US economic growth, even though the OECD

0:01:05.880 --> 0:01:08.680
<v Speaker 3>had pointed to some anxiety around growth and the tariff

0:01:08.680 --> 0:01:09.800
<v Speaker 3>impact earlier today.

0:01:10.000 --> 0:01:12.199
<v Speaker 2>But you're looking under the hood. What's caught your attention?

0:01:13.120 --> 0:01:16.840
<v Speaker 4>Yeah, that Meta nuclear deal. Meta shares slightly softer Constellation

0:01:17.319 --> 0:01:21.759
<v Speaker 4>supplying the energy. The nuclear energy actually really muted gains

0:01:21.800 --> 0:01:23.479
<v Speaker 4>relative to the big jump we saw in the pre

0:01:23.520 --> 0:01:26.600
<v Speaker 4>market when the deal was announced one and twenty one

0:01:26.640 --> 0:01:30.520
<v Speaker 4>megawatts over twenty years. This isn't just a sizeable deal

0:01:30.760 --> 0:01:33.320
<v Speaker 4>to source nuclear energy for Meta in its data centers.

0:01:33.560 --> 0:01:36.959
<v Speaker 4>It's bigger than the deal that Microsoft did with Constellation,

0:01:37.040 --> 0:01:38.839
<v Speaker 4>and it's worth getting into the details on this.

0:01:38.760 --> 0:01:40.800
<v Speaker 3>One character and we can we got the perfect person

0:01:40.800 --> 0:01:42.520
<v Speaker 3>the Blueblegs will weighed is with us.

0:01:42.760 --> 0:01:44.360
<v Speaker 2>The context here is important.

0:01:44.760 --> 0:01:47.960
<v Speaker 3>It is bigger than the Microsoft purchase that we'd seen previously,

0:01:48.440 --> 0:01:51.000
<v Speaker 3>and what does it allow Meta to do in terms

0:01:51.000 --> 0:01:54.800
<v Speaker 3>of yet further energy coming from a for AI from

0:01:54.840 --> 0:01:55.920
<v Speaker 3>nuclear in the future too.

0:01:56.240 --> 0:01:58.520
<v Speaker 5>Well, the thing about nuclear is that it's clean. There's

0:01:58.560 --> 0:02:01.960
<v Speaker 5>no carbon from nuclear power plants and wind and solar

0:02:02.000 --> 0:02:04.440
<v Speaker 5>or clean and all these tech companies have these really

0:02:04.440 --> 0:02:07.240
<v Speaker 5>ambitious carbon free goals. We're going to be in that

0:02:07.360 --> 0:02:11.679
<v Speaker 5>zero by twenty thirty, thirty five whatever. In the last year,

0:02:11.760 --> 0:02:14.840
<v Speaker 5>their power needs have climbed and they need so much

0:02:14.880 --> 0:02:17.880
<v Speaker 5>electricity for all the SAYI power plants take a long

0:02:17.919 --> 0:02:20.640
<v Speaker 5>time to build, so suddenly they're like turning back to

0:02:20.720 --> 0:02:24.320
<v Speaker 5>gas and coal, and that's a threat to their green goals.

0:02:24.400 --> 0:02:26.799
<v Speaker 5>So being able to get nuclear that's a real win.

0:02:28.400 --> 0:02:31.120
<v Speaker 4>Well on the Constellation side, there's a lot of signals

0:02:31.160 --> 0:02:37.639
<v Speaker 4>here of commitment upgrading and updating capacity, potentially building new capacity.

0:02:37.919 --> 0:02:40.200
<v Speaker 4>What have you learned in your reporting about this company.

0:02:40.639 --> 0:02:44.040
<v Speaker 5>Yeah, so that's really exciting because we don't have any

0:02:44.280 --> 0:02:47.760
<v Speaker 5>big nuclear plants under construction right now. The last one

0:02:48.080 --> 0:02:51.000
<v Speaker 5>was the Vocal plant to Georgia, and they finished.

0:02:51.000 --> 0:02:52.200
<v Speaker 4>It was kind of a debacle.

0:02:52.200 --> 0:02:55.440
<v Speaker 5>It was seven years late, it was billions over budget,

0:02:55.440 --> 0:02:57.720
<v Speaker 5>and it really scared people away from wanting to do

0:02:57.760 --> 0:03:00.440
<v Speaker 5>that again. Even though the rest of the country you're saying,

0:03:00.440 --> 0:03:03.519
<v Speaker 5>please build us more big nuclear power plants. The only

0:03:03.560 --> 0:03:06.760
<v Speaker 5>people that aren't saying that are companies like Constellation that

0:03:06.960 --> 0:03:08.880
<v Speaker 5>have to write the checks for these power plants.

0:03:09.200 --> 0:03:10.200
<v Speaker 4>So if they can.

0:03:10.120 --> 0:03:13.880
<v Speaker 5>Line up a customer like Microsoft, like Meta, someone who's

0:03:13.919 --> 0:03:17.160
<v Speaker 5>going to be willing to help them out on the finances,

0:03:17.480 --> 0:03:21.840
<v Speaker 5>that's making them have more confidence about building a new plant.

0:03:21.919 --> 0:03:26.640
<v Speaker 5>And Constellation said exactly that they have an NRC permit

0:03:26.720 --> 0:03:29.480
<v Speaker 5>that gives them permission to do another reactor at the

0:03:29.480 --> 0:03:32.120
<v Speaker 5>same Clinton side in Illinois. So there's not very many

0:03:32.160 --> 0:03:35.520
<v Speaker 5>places that already have that paper. We're handled and so

0:03:35.840 --> 0:03:38.840
<v Speaker 5>Constellation CEO Joe Dimingas told me last week that yeah,

0:03:38.840 --> 0:03:40.520
<v Speaker 5>they're looking at it. They're looking at a lot of

0:03:40.560 --> 0:03:43.960
<v Speaker 5>different options, but they're seriously considering it, and that's something

0:03:44.000 --> 0:03:45.000
<v Speaker 5>we haven't heard in the while.

0:03:45.960 --> 0:03:48.720
<v Speaker 4>Blim bogs will wade, Thank you very much. Let's now

0:03:48.760 --> 0:03:50.800
<v Speaker 4>expand the conversations, take a look at the impact of

0:03:50.840 --> 0:03:54.720
<v Speaker 4>the deal for both the technology and nuculiar power industries.

0:03:54.760 --> 0:03:57.720
<v Speaker 4>Joining us as Jeffrey's analyst Brent Hill and I've done

0:03:57.720 --> 0:04:00.880
<v Speaker 4>the math on it right. Basically, this deal between Constellation

0:04:00.920 --> 0:04:04.640
<v Speaker 4>and Meta is about thirty five percent larger in total

0:04:04.720 --> 0:04:08.680
<v Speaker 4>energy terms on constant capacity basis than the Microsoft deal.

0:04:08.920 --> 0:04:12.720
<v Speaker 4>But it's worth putting Microsoft as a Meta as an

0:04:12.720 --> 0:04:16.720
<v Speaker 4>operator of data centers into context versus the hyperscalers. What

0:04:16.800 --> 0:04:19.760
<v Speaker 4>does that math tell you about Meta and what it's

0:04:19.760 --> 0:04:20.320
<v Speaker 4>doing here.

0:04:21.760 --> 0:04:24.119
<v Speaker 6>Well, Meta's playing big for the AI game.

0:04:24.440 --> 0:04:27.599
<v Speaker 7>They're going to spend over sixty five billion dollars this

0:04:27.720 --> 0:04:31.400
<v Speaker 7>year in CAPEX and they have one of the highest

0:04:31.400 --> 0:04:35.839
<v Speaker 7>increases in terms of absolute dollars spent on CAPEX to

0:04:35.920 --> 0:04:40.880
<v Speaker 7>fuel this AI generation. So they're a huge player along

0:04:40.880 --> 0:04:45.479
<v Speaker 7>with the other hyperscalers. Amazon in microsoftware obviously going to

0:04:45.480 --> 0:04:47.560
<v Speaker 7>spend more in capex, but the percent.

0:04:47.480 --> 0:04:50.080
<v Speaker 6>Increases the highest at MATA.

0:04:50.880 --> 0:04:53.080
<v Speaker 7>And I think what this deal signifies is that we're

0:04:53.120 --> 0:04:55.920
<v Speaker 7>at the beginning of this aid option curve. It's going

0:04:55.960 --> 0:04:59.160
<v Speaker 7>to take we're again any one if you will, have

0:04:59.200 --> 0:05:02.560
<v Speaker 7>a baseball on l UH and this is going to

0:05:02.600 --> 0:05:07.600
<v Speaker 7>be a multi deck guy decade transformation. I think when

0:05:07.640 --> 0:05:11.239
<v Speaker 7>you look at the statistics of this transaction, right it's

0:05:11.360 --> 0:05:13.480
<v Speaker 7>a twenty year deal, which puts it at the higher

0:05:13.560 --> 0:05:17.320
<v Speaker 7>end of of of an energy transaction. They're pain actually

0:05:17.320 --> 0:05:20.719
<v Speaker 7>more than they would for other energy. They're not building

0:05:20.800 --> 0:05:23.680
<v Speaker 7>the data center near the nuclear plant. It's all virtual,

0:05:24.120 --> 0:05:27.080
<v Speaker 7>so I think they're effectively as as yours your other

0:05:27.120 --> 0:05:30.120
<v Speaker 7>presenter mentioned, this is an offset from a from a

0:05:30.160 --> 0:05:35.040
<v Speaker 7>carbon perspective, so better for the environment. And I think

0:05:35.040 --> 0:05:38.080
<v Speaker 7>they obviously want to get as much a capacity locked

0:05:38.120 --> 0:05:40.040
<v Speaker 7>up as they can before others get.

0:05:39.839 --> 0:05:42.839
<v Speaker 6>To that to get get to those uh that capacity

0:05:42.839 --> 0:05:43.400
<v Speaker 6>and energy.

0:05:43.480 --> 0:05:45.880
<v Speaker 7>So I think, I mean, there's multiple things to read

0:05:45.920 --> 0:05:48.280
<v Speaker 7>in here and look at from from our side. We've

0:05:48.279 --> 0:05:51.080
<v Speaker 7>talked to our energy team and and and this again

0:05:51.600 --> 0:05:54.280
<v Speaker 7>goes to the longer end and longer tail. And obviously

0:05:54.320 --> 0:05:57.600
<v Speaker 7>they wanted to save this facility, so this obviously gives

0:05:57.640 --> 0:06:00.240
<v Speaker 7>them a chance to to basically take a facility that

0:06:00.279 --> 0:06:02.760
<v Speaker 7>maybe was going to be shut down to saving it.

0:06:02.960 --> 0:06:06.600
<v Speaker 3>Brent, how much anxiety have you had about energy being

0:06:06.640 --> 0:06:10.279
<v Speaker 3>the blocker here to these hyperscale is meeting at the

0:06:10.360 --> 0:06:12.039
<v Speaker 3>level of demand massive.

0:06:12.200 --> 0:06:14.279
<v Speaker 7>I mean, I'm a tech guy, and again I was

0:06:14.320 --> 0:06:16.200
<v Speaker 7>just talking to our energy team before I got on.

0:06:16.240 --> 0:06:17.040
<v Speaker 6>I mean, who would have.

0:06:16.960 --> 0:06:21.560
<v Speaker 7>Thought that at this point we'd all be scrambling to

0:06:21.640 --> 0:06:23.760
<v Speaker 7>understand energy real estate.

0:06:24.000 --> 0:06:24.400
<v Speaker 6>I mean, the.

0:06:24.320 --> 0:06:29.400
<v Speaker 7>Biggest bottleneck to powering AI right now are the transmission

0:06:29.480 --> 0:06:33.760
<v Speaker 7>lines from the energy companies to the data centers, and

0:06:33.839 --> 0:06:36.359
<v Speaker 7>these you know, we've been told by many that are

0:06:37.000 --> 0:06:40.320
<v Speaker 7>sometimes two or three years backlogged, so they can't even

0:06:40.560 --> 0:06:42.960
<v Speaker 7>they can get things built, but they can't actually finish

0:06:43.080 --> 0:06:46.640
<v Speaker 7>the last piece of this because their lead times are

0:06:46.680 --> 0:06:50.160
<v Speaker 7>so long to get the equipment. So, I mean, we're

0:06:50.360 --> 0:06:52.760
<v Speaker 7>again Microsoft has said this to us many times.

0:06:52.960 --> 0:06:53.880
<v Speaker 6>When they show up.

0:06:53.760 --> 0:06:57.760
<v Speaker 7>Every day, they're like it is like they're on fire

0:06:57.839 --> 0:07:00.440
<v Speaker 7>the whole day, where they just can't like sit because

0:07:00.480 --> 0:07:03.599
<v Speaker 7>there's so many mooky pieces to make this all work.

0:07:04.520 --> 0:07:07.640
<v Speaker 7>For us to basically hit on one prompt bar and say,

0:07:08.560 --> 0:07:11.600
<v Speaker 7>you know, ask a simple question, what hotel should I

0:07:11.600 --> 0:07:12.640
<v Speaker 7>stay at in.

0:07:12.600 --> 0:07:15.080
<v Speaker 6>San Francisco based on this budget?

0:07:15.160 --> 0:07:15.320
<v Speaker 8>You know?

0:07:15.440 --> 0:07:17.200
<v Speaker 6>Or whatever question you want to ask.

0:07:17.240 --> 0:07:19.200
<v Speaker 7>But it's like you think about how simple the questions are,

0:07:19.520 --> 0:07:21.360
<v Speaker 7>but what actually has to happen in the back end

0:07:21.440 --> 0:07:25.880
<v Speaker 7>is so complex, and so we're living with massive anxiety

0:07:25.880 --> 0:07:27.960
<v Speaker 7>even covering the space, trying to keep up with all the.

0:07:28.000 --> 0:07:30.360
<v Speaker 3>Data pa Isn't it funny that it feels but a

0:07:30.360 --> 0:07:32.760
<v Speaker 3>few weeks ago that the anxiety was that they were

0:07:32.800 --> 0:07:36.679
<v Speaker 3>overbuilding and that the supply side was just getting too much.

0:07:36.800 --> 0:07:38.040
<v Speaker 2>Is that a thing of the past.

0:07:37.800 --> 0:07:40.720
<v Speaker 6>Brent, It's a thing of the past. I think here's

0:07:40.760 --> 0:07:41.080
<v Speaker 6>the problem.

0:07:41.120 --> 0:07:45.320
<v Speaker 7>We're doing third grade math and nothing against my competitors,

0:07:45.520 --> 0:07:47.920
<v Speaker 7>but all my competitors put out a data point though, Hi,

0:07:48.000 --> 0:07:52.360
<v Speaker 7>a data center for Microsoft is on hold, the Wisconsin

0:07:52.640 --> 0:07:55.520
<v Speaker 7>facilities not coming up live, and everyone goes, hey, i's

0:07:55.600 --> 0:08:00.200
<v Speaker 7>over everyone, run for the hills, sell everything, and that's out.

0:08:00.200 --> 0:08:00.760
<v Speaker 6>What's happening.

0:08:00.760 --> 0:08:04.080
<v Speaker 7>What's happening is we're doing this efficiently and we're going

0:08:04.120 --> 0:08:07.200
<v Speaker 7>to move pieces around. But as Microsoft and others have shown,

0:08:07.440 --> 0:08:11.400
<v Speaker 7>they're making money h and they're actually generating revenue growth.

0:08:11.560 --> 0:08:14.679
<v Speaker 7>So it's not about just blowing money and not generating

0:08:14.720 --> 0:08:18.640
<v Speaker 7>a return. It's it's it's balanced revenue growth and profitability.

0:08:19.000 --> 0:08:21.480
<v Speaker 7>And I think many of the companies that we cover

0:08:21.920 --> 0:08:23.920
<v Speaker 7>are signaling that they're going to be pieces that move

0:08:23.960 --> 0:08:26.600
<v Speaker 7>all over and sometimes again, as I said, you can't

0:08:26.600 --> 0:08:28.160
<v Speaker 7>even find the transmission lines to.

0:08:28.120 --> 0:08:30.880
<v Speaker 8>Get to these dcs, so they have to move a

0:08:30.960 --> 0:08:35.839
<v Speaker 8>capacity to other data centers. And so it's yeah, it's

0:08:35.840 --> 0:08:39.520
<v Speaker 8>a it's a giant rubics cube that is super scrambled,

0:08:39.559 --> 0:08:41.080
<v Speaker 8>and I'm not very good at a rubics cubes.

0:08:41.120 --> 0:08:43.400
<v Speaker 6>So we're trying to we're trying to figure it out.

0:08:44.120 --> 0:08:46.400
<v Speaker 4>Brent, neither am I to be fair, But but what

0:08:46.440 --> 0:08:48.719
<v Speaker 4>you just said it makes me want to go back

0:08:48.720 --> 0:08:52.280
<v Speaker 4>to the twenty year commitment with this particular nuclear deal,

0:08:52.679 --> 0:08:56.160
<v Speaker 4>because you can either see it as absolute conviction of

0:08:56.200 --> 0:08:59.360
<v Speaker 4>the need to source energy at those levels long term

0:08:59.440 --> 0:09:02.200
<v Speaker 4>because of what AI is doing, or you look at

0:09:02.200 --> 0:09:04.880
<v Speaker 4>it as a hedge the need for protection to make

0:09:04.920 --> 0:09:07.600
<v Speaker 4>sure you've got the energy security if you need it.

0:09:09.440 --> 0:09:10.880
<v Speaker 6>I mean, I think it's a combo of both.

0:09:10.920 --> 0:09:13.600
<v Speaker 7>And again it's it's a carbon offset right from all

0:09:13.600 --> 0:09:15.360
<v Speaker 7>the other ways that they're generating power.

0:09:15.400 --> 0:09:16.360
<v Speaker 6>So there's there's.

0:09:16.160 --> 0:09:19.840
<v Speaker 7>That, you know, environmental component that they have to be

0:09:19.960 --> 0:09:22.720
<v Speaker 7>conscious of. So I think they check the box on

0:09:22.800 --> 0:09:25.680
<v Speaker 7>that they lock up a facility that perhaps was going

0:09:25.760 --> 0:09:27.040
<v Speaker 7>to go offline.

0:09:26.760 --> 0:09:28.079
<v Speaker 6>They protect this.

0:09:28.200 --> 0:09:31.800
<v Speaker 7>Power from perhaps others that we're going to get it

0:09:32.440 --> 0:09:35.599
<v Speaker 7>in the AI industry. Uh, you know, there's kind of

0:09:35.640 --> 0:09:38.000
<v Speaker 7>multiple you know, checkboxes.

0:09:38.040 --> 0:09:39.800
<v Speaker 6>I think they get they get out of this transaction

0:09:40.240 --> 0:09:41.960
<v Speaker 6>as we understand it. It's virtual.

0:09:42.240 --> 0:09:45.200
<v Speaker 7>There's no like Amazon and others are are doing nuclear

0:09:45.200 --> 0:09:48.319
<v Speaker 7>and putting DCS near it. As we understand that this

0:09:48.440 --> 0:09:51.600
<v Speaker 7>is nothing's near it. So you know, it's a virtual deal,

0:09:52.040 --> 0:09:56.320
<v Speaker 7>which again is unique. So I think there's kind of

0:09:56.480 --> 0:10:01.280
<v Speaker 7>multiple threads to pull here. But again I I think

0:10:01.440 --> 0:10:05.360
<v Speaker 7>what this signifies is that we are really early. It's

0:10:05.400 --> 0:10:08.520
<v Speaker 7>going to have massive impacts on all of our lives

0:10:08.840 --> 0:10:12.080
<v Speaker 7>across every industry, and I think they talked about this yesterday.

0:10:12.480 --> 0:10:14.840
<v Speaker 7>Over the next year, Meta will be able to power

0:10:15.000 --> 0:10:20.520
<v Speaker 7>full advertising AI actual campaigns, which means if you run

0:10:20.520 --> 0:10:22.600
<v Speaker 7>a small business, you can say I'd like a sidewalk

0:10:22.640 --> 0:10:26.400
<v Speaker 7>sale for my furniture company, and here are the pictures

0:10:26.400 --> 0:10:29.120
<v Speaker 7>from the last year. I don't have to hire a videographer.

0:10:29.160 --> 0:10:31.760
<v Speaker 7>I don't have to hire a creative pro whatever. You

0:10:31.800 --> 0:10:33.360
<v Speaker 7>just put the pictures in. All of a sudden, it

0:10:33.400 --> 0:10:37.200
<v Speaker 7>spits out, here's a sidewalk sale Thursday with the band,

0:10:37.920 --> 0:10:41.400
<v Speaker 7>the wine, the cheese, and here's the discounts, and here's

0:10:41.440 --> 0:10:43.120
<v Speaker 7>the video, and you do it at a fraction of

0:10:43.160 --> 0:10:43.440
<v Speaker 7>the costs.

0:10:43.480 --> 0:10:45.240
<v Speaker 6>I mean, this is pretty incredible what this is going

0:10:45.280 --> 0:10:46.959
<v Speaker 6>to do for small businesses.

0:10:46.800 --> 0:10:51.120
<v Speaker 7>And metas is enabling this small business economy to define

0:10:51.120 --> 0:10:55.120
<v Speaker 7>the right customers, to generate the right campaigns.

0:10:54.120 --> 0:10:58.040
<v Speaker 6>It's it's a completely different world. And again, I think

0:10:57.880 --> 0:11:00.280
<v Speaker 6>we're all trying to have trying to.

0:11:00.120 --> 0:11:02.040
<v Speaker 3>We're trying to have more wine and cheese with our

0:11:02.120 --> 0:11:05.079
<v Speaker 3>generator AI. Brent, that's what we're trying to do. Jeffrey's analyst,

0:11:05.440 --> 0:11:07.600
<v Speaker 3>Brent phil is so good to have you on just

0:11:07.600 --> 0:11:09.800
<v Speaker 3>the scale of the ambition coming from Meta. Meanwhile, let's

0:11:09.800 --> 0:11:12.160
<v Speaker 3>talk about what's happening with Morgan. Stanley is shopping a

0:11:12.200 --> 0:11:15.560
<v Speaker 3>five billion dollar debt package for Elon Musk's AI company Xai.

0:11:15.720 --> 0:11:16.760
<v Speaker 2>It's according to a source.

0:11:16.920 --> 0:11:19.079
<v Speaker 3>Now, this is the latest fundraising move by the billionaire,

0:11:19.080 --> 0:11:21.360
<v Speaker 3>who is also tapping markets of fresh equity across his

0:11:21.400 --> 0:11:24.680
<v Speaker 3>Business Empire and most Kurt Wagner joins us some more. Look,

0:11:24.760 --> 0:11:27.200
<v Speaker 3>is he looking to the debt market to finance his

0:11:27.200 --> 0:11:28.360
<v Speaker 3>own infrastructure build out?

0:11:29.920 --> 0:11:32.960
<v Speaker 9>I have to imagine so, because if you remember Caroline,

0:11:33.080 --> 0:11:36.280
<v Speaker 9>XAI has that huge data center in Memphis, which they

0:11:36.360 --> 0:11:38.880
<v Speaker 9>call Colossus. It was just I think last month that

0:11:38.920 --> 0:11:41.120
<v Speaker 9>Elon Musk was out saying that, you know, they have

0:11:41.160 --> 0:11:44.160
<v Speaker 9>two hundred thousand GPUs at that site, with aims to

0:11:44.200 --> 0:11:47.560
<v Speaker 9>be more than a million GPUs either there or even

0:11:47.640 --> 0:11:50.440
<v Speaker 9>at a site nearby. So I mean the scale at

0:11:50.440 --> 0:11:53.559
<v Speaker 9>which Elon is thinking as it comes to XAI and

0:11:53.880 --> 0:11:56.720
<v Speaker 9>these data centers is very massive. Obviously, as we've talked

0:11:56.720 --> 0:11:58.880
<v Speaker 9>about and you know as well as anybody, this is

0:11:58.920 --> 0:12:02.079
<v Speaker 9>incredibly expensive. So it's not surprising to me that he's

0:12:02.120 --> 0:12:04.240
<v Speaker 9>not only out trying to raise this money via debt,

0:12:04.280 --> 0:12:06.839
<v Speaker 9>but also, as Bloomberg has reported, you know, they're looking

0:12:06.880 --> 0:12:09.720
<v Speaker 9>to raise money with an equity round as well.

0:12:11.200 --> 0:12:13.679
<v Speaker 4>This is a lot of things happening in parallel. You

0:12:13.720 --> 0:12:17.520
<v Speaker 4>have debt. What was reported yesterday by another outlet is

0:12:17.559 --> 0:12:21.760
<v Speaker 4>a tender to give employees liquidity both XAI and ex

0:12:21.800 --> 0:12:24.800
<v Speaker 4>employees a secondary offering and then go back to that

0:12:24.840 --> 0:12:27.559
<v Speaker 4>bit Kert. What I'd heard was that as soon as

0:12:27.600 --> 0:12:31.240
<v Speaker 4>that merger closed, Elon and people like Jared Birchill, his

0:12:31.440 --> 0:12:35.000
<v Speaker 4>financial lieutenant, side phoning everyone and saying, if we raise

0:12:35.040 --> 0:12:38.160
<v Speaker 4>some money, want to get involved. That's kind of classic

0:12:38.520 --> 0:12:42.240
<v Speaker 4>Elon Inc. Play, it is, and this.

0:12:42.160 --> 0:12:43.840
<v Speaker 6>Is what Elon does, right.

0:12:43.920 --> 0:12:47.200
<v Speaker 9>He spends a lot of his time over in government,

0:12:47.320 --> 0:12:51.800
<v Speaker 9>sort of seemingly like ruining his reputation and watching Tesla's

0:12:51.800 --> 0:12:54.800
<v Speaker 9>stock tank, and then at the same time people are

0:12:54.880 --> 0:12:57.200
<v Speaker 9>lining up out the door to do business with him

0:12:57.320 --> 0:13:00.560
<v Speaker 9>in all of these private endeavors. As you may right,

0:13:00.880 --> 0:13:04.760
<v Speaker 9>XAI Neuralink just raised over six hundred million dollars.

0:13:04.800 --> 0:13:06.240
<v Speaker 6>I believe they announced that yesterday.

0:13:06.920 --> 0:13:09.280
<v Speaker 9>So you know, this is someone who, because of his

0:13:09.440 --> 0:13:13.160
<v Speaker 9>track record, because of his ambitions, usually has no problem

0:13:13.200 --> 0:13:16.120
<v Speaker 9>getting people to give him money. I think the question

0:13:16.280 --> 0:13:19.160
<v Speaker 9>is how much and where does it go right, How

0:13:19.800 --> 0:13:22.720
<v Speaker 9>useful is it for him or is he just raising

0:13:22.760 --> 0:13:24.600
<v Speaker 9>money for the sake of raising money. I think in

0:13:24.640 --> 0:13:27.280
<v Speaker 9>this case with the XAI thing, given what he signaled

0:13:27.280 --> 0:13:30.080
<v Speaker 9>publicly about the data centers and Memphis specifically, I think

0:13:30.080 --> 0:13:32.160
<v Speaker 9>we can assume a lot of this would go toward

0:13:32.200 --> 0:13:34.959
<v Speaker 9>building out that project.

0:13:34.320 --> 0:13:36.800
<v Speaker 4>Bloom bes cut Wagon that thank you very much. Coming up,

0:13:36.840 --> 0:13:40.280
<v Speaker 4>an energy startup founded by a former Tesler, ezech is

0:13:40.320 --> 0:13:44.920
<v Speaker 4>aiming to transform transformers. We'll talk to the see Drew

0:13:44.920 --> 0:13:48.480
<v Speaker 4>Baglino about the company's latest fundraise and his technology. Next,

0:13:48.840 --> 0:14:03.280
<v Speaker 4>this is Bloomberg Technology. Increase the electricity demand driven by

0:14:03.320 --> 0:14:07.400
<v Speaker 4>AI is running up a shortage of transformers. Startup Heron

0:14:07.520 --> 0:14:10.320
<v Speaker 4>Power has set out to address that bottleneck with solid

0:14:10.360 --> 0:14:14.120
<v Speaker 4>state transformers that help electricity in its sector scale faster.

0:14:14.200 --> 0:14:17.920
<v Speaker 4>Its founder, Drew Baglino, is the high profile, long serving

0:14:18.160 --> 0:14:21.880
<v Speaker 4>and now former Tesla exec who helps shape that company's powertrain,

0:14:21.960 --> 0:14:25.120
<v Speaker 4>battery and energy product strategy. Delight to say, Drew joins

0:14:25.200 --> 0:14:26.640
<v Speaker 4>us here in San Francisco.

0:14:27.000 --> 0:14:27.880
<v Speaker 10>Thanks for having me ed.

0:14:27.960 --> 0:14:29.880
<v Speaker 4>A lot of people were waiting to see what you

0:14:29.880 --> 0:14:32.520
<v Speaker 4>would do in your life after Tesla. It is Heron

0:14:32.680 --> 0:14:37.160
<v Speaker 4>and Heron Power. What is the technology and what's the goal. Yeah.

0:14:37.280 --> 0:14:42.160
<v Speaker 11>Heron Power's goal is to build grid scale power solutions

0:14:42.200 --> 0:14:46.080
<v Speaker 11>to an accelerate and all electric future. The technology is

0:14:46.120 --> 0:14:50.680
<v Speaker 11>basically leveraging the bleeding edge of power semiconductors to go

0:14:50.800 --> 0:14:54.120
<v Speaker 11>directly from all the new energy technologies that are out there.

0:14:54.120 --> 0:14:55.000
<v Speaker 4>They're all DC.

0:14:55.240 --> 0:14:58.400
<v Speaker 11>This is solar batteries, data centers, and they got to

0:14:58.440 --> 0:15:01.280
<v Speaker 11>get to a grid which is ac alter current. And

0:15:01.560 --> 0:15:05.320
<v Speaker 11>we're going to do that without transformers, fully with power electronics,

0:15:05.480 --> 0:15:08.760
<v Speaker 11>high frequency modular power electronics that we're designing here in California.

0:15:08.960 --> 0:15:11.680
<v Speaker 4>You're talking about the cussing age of semiconductors in that field.

0:15:11.720 --> 0:15:14.760
<v Speaker 4>We often, for example, talk about silicon carbide on this show. Yeah,

0:15:14.760 --> 0:15:16.880
<v Speaker 4>but what did if you just give the backstory, did

0:15:16.920 --> 0:15:21.440
<v Speaker 4>you design this technology? Are you working with someone who did?

0:15:22.640 --> 0:15:23.880
<v Speaker 4>We're developing it in house.

0:15:24.640 --> 0:15:30.320
<v Speaker 11>We're taking the best known topologies for advanced power electronics.

0:15:30.400 --> 0:15:32.920
<v Speaker 11>There's a lot of great academic work actually in this

0:15:33.000 --> 0:15:37.840
<v Speaker 11>space and applying them to the grid scale power electronics problem. Historically,

0:15:38.200 --> 0:15:40.200
<v Speaker 11>the way it's been done is you have a low

0:15:40.600 --> 0:15:45.240
<v Speaker 11>voltage converter inverter. Rectifier has lots of different names, going

0:15:45.280 --> 0:15:46.440
<v Speaker 11>from somewhere around one.

0:15:46.360 --> 0:15:47.120
<v Speaker 4>Thousand vold STC.

0:15:47.280 --> 0:15:50.280
<v Speaker 11>That's what batteries are as a solar is data centers

0:15:50.280 --> 0:15:52.040
<v Speaker 11>will be in the future. In fact, on this show

0:15:52.080 --> 0:15:54.800
<v Speaker 11>and video talked about a intervolt power electronics their data

0:15:54.800 --> 0:15:59.560
<v Speaker 11>center did. Yeah, and you know you'd go through a

0:15:59.600 --> 0:16:02.080
<v Speaker 11>low voltage inverter so you'd end up with AC at

0:16:02.080 --> 0:16:03.800
<v Speaker 11>four eighty or six hundred volts, and then you need

0:16:03.960 --> 0:16:06.560
<v Speaker 11>one of these old school you know, grain orients and

0:16:06.600 --> 0:16:09.400
<v Speaker 11>electric steel oil field transformers to get up to thirty

0:16:09.400 --> 0:16:11.440
<v Speaker 11>four thousand volts, And we're going to do it directly

0:16:11.480 --> 0:16:12.960
<v Speaker 11>without the use of a transformer.

0:16:13.080 --> 0:16:16.520
<v Speaker 3>Drew, Who is it you're disrupting here at the moment?

0:16:16.680 --> 0:16:19.400
<v Speaker 3>Is it old school electricity players?

0:16:19.520 --> 0:16:22.280
<v Speaker 2>Is it the Schneider Electrics? Is that the zeemans? Who

0:16:22.360 --> 0:16:23.720
<v Speaker 2>is it that you're really taking on here?

0:16:25.760 --> 0:16:26.040
<v Speaker 10>Yeah?

0:16:26.120 --> 0:16:31.720
<v Speaker 11>I think we're trying to provide a more efficient, more compact,

0:16:32.200 --> 0:16:35.880
<v Speaker 11>more scalable solution. And there's actually a lot of players

0:16:35.880 --> 0:16:38.040
<v Speaker 11>in this space. You've got switch gear providers, You've got

0:16:38.040 --> 0:16:42.080
<v Speaker 11>lots of different transformer providers, there's a lot of honestly

0:16:42.120 --> 0:16:45.280
<v Speaker 11>like no name power electronics providers and some bigger name players,

0:16:46.400 --> 0:16:49.000
<v Speaker 11>and so it's a little bit of everyone, I would say,

0:16:49.520 --> 0:16:53.440
<v Speaker 11>But really, when I zoom out, electricity growth is poised

0:16:53.440 --> 0:16:55.960
<v Speaker 11>to triple over the next couple of decades, and that's

0:16:56.000 --> 0:16:59.800
<v Speaker 11>not just due to AI but also electrication of vehicles, buildings,

0:17:00.160 --> 0:17:03.760
<v Speaker 11>everything else. And so there's going to be room for

0:17:03.960 --> 0:17:05.959
<v Speaker 11>many players to support this growth.

0:17:06.920 --> 0:17:09.959
<v Speaker 3>Drew give us that wider context because we started off

0:17:10.000 --> 0:17:12.960
<v Speaker 3>the show by talking about meta looking and locking in

0:17:13.119 --> 0:17:16.879
<v Speaker 3>nuclear energy for its future AI needs. How much of

0:17:16.920 --> 0:17:19.560
<v Speaker 3>a bottleneck is energy? How much of a bottleneck is

0:17:19.600 --> 0:17:21.960
<v Speaker 3>just the infrastructure that you're trying to rework. How much

0:17:22.000 --> 0:17:25.159
<v Speaker 3>do we blame well incidents like the Spanish blackout on

0:17:25.480 --> 0:17:27.520
<v Speaker 3>not modern enough infrastructure.

0:17:29.359 --> 0:17:36.080
<v Speaker 11>Yeah, the electricity sector is poised at an interesting inflection point.

0:17:36.119 --> 0:17:39.040
<v Speaker 11>It's really the confluence of three major trends. First, you've

0:17:39.040 --> 0:17:42.040
<v Speaker 11>got demand. For the first time in decades, there's actually

0:17:42.119 --> 0:17:44.680
<v Speaker 11>robust electricity demand, and that's due to number of factors.

0:17:45.040 --> 0:17:48.480
<v Speaker 11>You've got electrification of buildings, transportation, You've got AI. You

0:17:48.520 --> 0:17:50.600
<v Speaker 11>actually have a lot of new manufacturing load, which is

0:17:50.600 --> 0:17:52.280
<v Speaker 11>exciting to see that coming into the United States and

0:17:52.280 --> 0:17:53.240
<v Speaker 11>other developed countries.

0:17:54.040 --> 0:17:55.719
<v Speaker 4>On the same time, you've got supply.

0:17:55.960 --> 0:18:02.280
<v Speaker 11>In fact, abundant clean renewable energy is growing at explosively.

0:18:02.359 --> 0:18:04.680
<v Speaker 11>To be honest, in twenty twenty four, over five hundred

0:18:04.680 --> 0:18:07.639
<v Speaker 11>gigawatts of the utility scale solar was deployed. That's over

0:18:08.040 --> 0:18:11.720
<v Speaker 11>half a trillion of capital investment in solar that year alone,

0:18:11.840 --> 0:18:13.880
<v Speaker 11>and that number was up thirty percent year over year.

0:18:14.200 --> 0:18:18.200
<v Speaker 11>So massive increase and abundant potential supply. And then the

0:18:18.280 --> 0:18:21.760
<v Speaker 11>last thing is aging infrastructure, especially in the developed economies.

0:18:22.359 --> 0:18:24.720
<v Speaker 11>You know, over half of the infrastructure that's out there

0:18:24.800 --> 0:18:26.560
<v Speaker 11>is over thirty years old, some of it's forty five.

0:18:27.080 --> 0:18:30.119
<v Speaker 4>Question drew, So to interrupt, who is your customer if

0:18:30.119 --> 0:18:32.159
<v Speaker 4>you want to fix the entire grid? Who are you

0:18:32.200 --> 0:18:32.679
<v Speaker 4>selling to?

0:18:33.240 --> 0:18:36.159
<v Speaker 11>Initially we're selling to energy project developers and data centers

0:18:36.119 --> 0:18:39.360
<v Speaker 11>at center builders like yeah. So actually we have later

0:18:39.480 --> 0:18:44.240
<v Speaker 11>letters of intent signed with Cruso, interesting leading AI data

0:18:44.240 --> 0:18:47.240
<v Speaker 11>center developer and cloud services provider. And we also have

0:18:47.280 --> 0:18:49.560
<v Speaker 11>a letter of intent signed with Intersect Power, one of

0:18:49.600 --> 0:18:51.760
<v Speaker 11>the largest renewable energy developers.

0:18:51.320 --> 0:18:54.520
<v Speaker 4>Working with Google in the US. I think they are you.

0:18:55.840 --> 0:19:00.480
<v Speaker 4>I'm going to ask you how you view test energy

0:19:00.480 --> 0:19:04.680
<v Speaker 4>business right in the context of Heroin you were an alumni,

0:19:04.760 --> 0:19:07.159
<v Speaker 4>But do you expect to work with Tesla on the

0:19:07.200 --> 0:19:10.720
<v Speaker 4>kind of storage and so the side certainly possible.

0:19:10.800 --> 0:19:13.200
<v Speaker 11>We haven't had discussions, but I look forward to having

0:19:13.240 --> 0:19:14.880
<v Speaker 11>discussions in the future if it makes sense.

0:19:15.359 --> 0:19:17.680
<v Speaker 4>But the door wouldn't be closed for any reason.

0:19:18.000 --> 0:19:19.920
<v Speaker 11>That I that I could see. I mean, again, I

0:19:19.960 --> 0:19:22.560
<v Speaker 11>think this is a huge problem. It's a massive sector,

0:19:22.640 --> 0:19:26.600
<v Speaker 11>trillions of investment over the coming years. There's opportunity for everybody.

0:19:27.920 --> 0:19:31.640
<v Speaker 11>But yeah, I think Tesla Energy has done an amazing job.

0:19:31.680 --> 0:19:33.520
<v Speaker 11>I mean, obviously I put a lot of my time

0:19:33.560 --> 0:19:36.080
<v Speaker 11>in there over the past decade. If you go back

0:19:36.080 --> 0:19:40.399
<v Speaker 11>to twenty fourteen, you know, utility scale stage storage didn't exist,

0:19:40.480 --> 0:19:42.280
<v Speaker 11>I mean, residential batteries didn't exist.

0:19:42.640 --> 0:19:43.160
<v Speaker 10>And now in.

0:19:43.080 --> 0:19:46.040
<v Speaker 11>Twenty twenty four over fifty gigawatts of utility scale storage

0:19:46.080 --> 0:19:48.840
<v Speaker 11>was deployed around the year and in capex of like

0:19:48.880 --> 0:19:54.480
<v Speaker 11>forty billion dollars. That's massive, and that year itself, I

0:19:54.480 --> 0:19:57.760
<v Speaker 11>think was almost a doubling of deployment. So really at

0:19:57.800 --> 0:20:00.000
<v Speaker 11>the beginning of the energy storage wave, and I expect

0:20:00.080 --> 0:20:02.640
<v Speaker 11>Tesla Energy to continue to grow quickly.

0:20:02.760 --> 0:20:06.560
<v Speaker 4>You were the longest serving person at Tesla, basically behind

0:20:06.600 --> 0:20:09.440
<v Speaker 4>Elon for a really long time, which you just kindly

0:20:09.480 --> 0:20:12.119
<v Speaker 4>share some insight in how it works at Tesla. You

0:20:12.119 --> 0:20:15.679
<v Speaker 4>were one of sort of three stated executive officers. But

0:20:15.840 --> 0:20:17.520
<v Speaker 4>the thing that I learned in my reporting is there's

0:20:17.520 --> 0:20:21.600
<v Speaker 4>a really deep bench of talent, particularly on the energy side.

0:20:21.640 --> 0:20:24.119
<v Speaker 4>At a time where everyone talks about Elon must looking

0:20:24.440 --> 0:20:25.840
<v Speaker 4>elsewhere and being distracted.

0:20:26.880 --> 0:20:30.000
<v Speaker 11>Yeah, I mean, I'm super proud of what you know,

0:20:30.040 --> 0:20:32.800
<v Speaker 11>the Tesla team and myself and others were able to

0:20:32.840 --> 0:20:36.800
<v Speaker 11>contribute to over the past two decades. Again, we talked

0:20:36.800 --> 0:20:39.240
<v Speaker 11>about the energy business from zero to nothing, but I

0:20:39.240 --> 0:20:42.960
<v Speaker 11>mean zero is something amazing. But I think we shouldn't

0:20:43.000 --> 0:20:47.480
<v Speaker 11>overlook the contributions that Tesla provided to the EV space. Again,

0:20:47.520 --> 0:20:49.840
<v Speaker 11>in twenty fourteen, maybe there was one hundred thousand total

0:20:49.880 --> 0:20:53.119
<v Speaker 11>evs and last year of ten million. More than ten million.

0:20:53.119 --> 0:20:57.040
<v Speaker 11>I mean, that's three hoors of magnitude. It's impressive and

0:20:58.400 --> 0:21:02.480
<v Speaker 11>continuing to grow. And Tussel didn't just do it itself right,

0:21:02.480 --> 0:21:06.399
<v Speaker 11>it encouraged many newcomers to enter the space, and I

0:21:06.440 --> 0:21:09.120
<v Speaker 11>think that speaks to the capability of the team there.

0:21:09.240 --> 0:21:11.720
<v Speaker 11>You know, it's a really strong team and I look

0:21:11.800 --> 0:21:13.480
<v Speaker 11>forward to what they continue to do in the future.

0:21:13.560 --> 0:21:16.320
<v Speaker 11>In fact, I just got a new model y and

0:21:16.520 --> 0:21:18.639
<v Speaker 11>I got to say it's an incredible improvement over the

0:21:18.640 --> 0:21:21.120
<v Speaker 11>model I got in twenty twenty during the head of COVID.

0:21:20.920 --> 0:21:24.240
<v Speaker 4>Drew Baglino, founder CEO of heron power, thank you so

0:21:24.320 --> 0:21:27.080
<v Speaker 4>much for your time on Bloomberg Technology. It's time now

0:21:27.119 --> 0:21:29.960
<v Speaker 4>for talking tech and first up, Jaomi's ev business is

0:21:30.000 --> 0:21:33.040
<v Speaker 4>expected to turn profitable by the second half of the year.

0:21:33.200 --> 0:21:36.639
<v Speaker 4>That's according to founder Lee June. It's Su seven sedan

0:21:36.720 --> 0:21:39.800
<v Speaker 4>has enjoyed strong sales, even in the cutthroat market where

0:21:39.920 --> 0:21:44.040
<v Speaker 4>rivals have been slashing prices. Taiwan Semi Conductor Manufacturing has

0:21:44.040 --> 0:21:47.080
<v Speaker 4>blamed the traffic for delays building out its plant in

0:21:47.160 --> 0:21:50.800
<v Speaker 4>Southwest Japan. Companies pushing ahead with plans to expand abroad

0:21:51.000 --> 0:21:54.119
<v Speaker 4>in the face of geopolitical tensions and rising demand for

0:21:54.320 --> 0:21:58.600
<v Speaker 4>Nvidio chips. C C Way CEO also reaffirm TSMC's commitment

0:21:58.760 --> 0:22:02.560
<v Speaker 4>to spend another one hundred billion dollars on its Arizona plant,

0:22:02.960 --> 0:22:06.240
<v Speaker 4>and Microsoft is cutting hundreds more jobs, just weeks after

0:22:06.280 --> 0:22:09.560
<v Speaker 4>its largest layoff in years. A Microsoft spokesperson said the

0:22:09.640 --> 0:22:13.400
<v Speaker 4>latest cuts are in addition to the six thousand announced

0:22:13.600 --> 0:22:14.120
<v Speaker 4>last month.

0:22:21.240 --> 0:22:24.320
<v Speaker 2>Welcome back to Bloomberg Technology. I'm Caroline Hide in New York.

0:22:24.320 --> 0:22:26.639
<v Speaker 4>And I'm ed love Lo in San Francisco. The market's carroc.

0:22:26.880 --> 0:22:28.840
<v Speaker 2>They are rebounding somewhat ed.

0:22:29.000 --> 0:22:32.320
<v Speaker 3>We had some anxiety around that OECD forecast for slower

0:22:32.320 --> 0:22:34.200
<v Speaker 3>growth on the back of tariff, but now.

0:22:34.240 --> 0:22:36.480
<v Speaker 2>Well it's full steam ahead on the nasdak at.

0:22:36.440 --> 0:22:39.840
<v Speaker 3>Least SUT six ten percent large thanks to Jolts.

0:22:39.920 --> 0:22:41.280
<v Speaker 2>Job opening is looking steady.

0:22:41.320 --> 0:22:44.159
<v Speaker 3>The macro picture a good news signal for today, but

0:22:44.280 --> 0:22:46.600
<v Speaker 3>so too as some of the chip performances. Let's just

0:22:46.600 --> 0:22:49.000
<v Speaker 3>dig into individual movers in Viniar, I mean a cool

0:22:49.000 --> 0:22:51.359
<v Speaker 3>one hundred billion dollars added in market cap one day alone,

0:22:51.440 --> 0:22:54.000
<v Speaker 3>We're up three point two percent. That helps to the benchmark,

0:22:54.119 --> 0:22:57.440
<v Speaker 3>but so do does a new record high for Broadcom. Look,

0:22:57.440 --> 0:23:00.160
<v Speaker 3>we've got their earnings coming out after the bell on Thursday,

0:23:00.280 --> 0:23:02.720
<v Speaker 3>and it's looking excitedly to the AI products. And look,

0:23:02.720 --> 0:23:05.440
<v Speaker 3>we just got newser one Dinabas our colleague writing about

0:23:05.440 --> 0:23:09.520
<v Speaker 3>Tomahawk's six chip switches switch chips. This is about making

0:23:09.560 --> 0:23:12.000
<v Speaker 3>AI accelerator is that much more efficient ed and it's

0:23:12.080 --> 0:23:14.080
<v Speaker 3>leading an acceleration in the stock.

0:23:14.119 --> 0:23:16.760
<v Speaker 2>More broadly, Meta down s extents of Ascent. We've been

0:23:16.800 --> 0:23:17.439
<v Speaker 2>talking all.

0:23:17.320 --> 0:23:19.280
<v Speaker 3>Along about the fact that they are turning their attention

0:23:19.359 --> 0:23:22.879
<v Speaker 3>to nuclearive power. Their AI desires need the infrastructure, and

0:23:22.880 --> 0:23:24.720
<v Speaker 3>we're seeing a build out a twenty year contract with

0:23:24.800 --> 0:23:25.960
<v Speaker 3>Constellation at the moment.

0:23:26.160 --> 0:23:27.160
<v Speaker 2>Let's get back to Meta.

0:23:27.960 --> 0:23:30.119
<v Speaker 4>Yeah, it's our top story. Meta says it's reached a

0:23:30.160 --> 0:23:34.800
<v Speaker 4>deal to purchase nuclear power capacity from Constellation Energy, all

0:23:34.840 --> 0:23:36.840
<v Speaker 4>in on an effort to keep up with the soaring

0:23:36.880 --> 0:23:40.560
<v Speaker 4>demands of energy to power artificial intelligence. Here were more

0:23:40.600 --> 0:23:44.240
<v Speaker 4>bloombergs Riley Griffin on the Meta side the metabat Earlier

0:23:44.240 --> 0:23:46.919
<v Speaker 4>in the program, we talked about the size and scope

0:23:46.920 --> 0:23:50.160
<v Speaker 4>the numbers. This is a bigger energy supply deal than

0:23:50.160 --> 0:23:52.880
<v Speaker 4>Microsoft did with Constellation. But I think we haven't yet

0:23:52.880 --> 0:23:55.640
<v Speaker 4>answered the question why is Meta doing this.

0:23:57.119 --> 0:23:59.720
<v Speaker 10>It's a great question, and it's worth noting here that

0:23:59.760 --> 0:24:03.440
<v Speaker 10>this is Meta's largest power agreement to date. While we

0:24:03.480 --> 0:24:06.840
<v Speaker 10>don't have the specific financials, they've told us that. And

0:24:07.359 --> 0:24:11.520
<v Speaker 10>really this is about driving power for its data centers,

0:24:11.920 --> 0:24:17.639
<v Speaker 10>for its AI ambitions as metas demand for this really surges.

0:24:18.200 --> 0:24:22.480
<v Speaker 3>Let's talk about their ambitions, Roddy, because then now a hypiscala.

0:24:22.840 --> 0:24:23.119
<v Speaker 4>Why.

0:24:25.160 --> 0:24:28.480
<v Speaker 10>Yeah, they are hoping to dominate the AI race. They're

0:24:28.560 --> 0:24:31.359
<v Speaker 10>competing not just with social media companies, which they're known for,

0:24:31.520 --> 0:24:34.680
<v Speaker 10>but with the open ais and anthropics of the world

0:24:34.760 --> 0:24:37.919
<v Speaker 10>and the Microsoft's. This is a fast moving race. They

0:24:37.920 --> 0:24:40.520
<v Speaker 10>are quickly scaling. They've said this year that they are

0:24:40.520 --> 0:24:45.240
<v Speaker 10>going to spend as much as seventy billions plus in capex,

0:24:45.320 --> 0:24:48.120
<v Speaker 10>A lot of that dedicated to AI infrastructure, and this

0:24:48.240 --> 0:24:50.840
<v Speaker 10>twenty year deal is about assurances.

0:24:51.200 --> 0:24:52.640
<v Speaker 12>While energy will start coming in.

0:24:52.520 --> 0:24:56.040
<v Speaker 10>In twenty twenty seven, they want some mere term assurances

0:24:56.040 --> 0:25:00.919
<v Speaker 10>that the grid will remain reliable, stable, and this was

0:25:01.000 --> 0:25:04.360
<v Speaker 10>an effort to do that in part because Constellations plant

0:25:04.520 --> 0:25:07.560
<v Speaker 10>was at risk of closure. According to Meta's head of

0:25:07.600 --> 0:25:09.520
<v Speaker 10>Global Energy, we.

0:25:09.480 --> 0:25:11.200
<v Speaker 3>Want to thank you so much for bringing us the

0:25:11.280 --> 0:25:15.080
<v Speaker 3>latest on all things META Whenimberg's Rydy Griffin appreciate it.

0:25:15.920 --> 0:25:19.359
<v Speaker 3>Let's talk about the theme when it comes to vcs

0:25:19.560 --> 0:25:22.560
<v Speaker 3>as well. Actually, in the current economic environment, we're seeing

0:25:22.560 --> 0:25:25.959
<v Speaker 3>them raising funds and some to tackle this new age

0:25:26.080 --> 0:25:29.360
<v Speaker 3>of energy demand and indeed climate solutions. At the same time,

0:25:29.520 --> 0:25:31.960
<v Speaker 3>Energize Capital just closed its Ventures.

0:25:31.560 --> 0:25:33.920
<v Speaker 2>Fund three totally four hundred and thirty million dollars.

0:25:33.720 --> 0:25:37.280
<v Speaker 3>To scale digitally enabled climate solutions. Let's bring in John Tuff,

0:25:37.359 --> 0:25:41.080
<v Speaker 3>managing partner of Energized Capital, and John speak to the

0:25:41.080 --> 0:25:43.320
<v Speaker 3>theme that we were just talking of the need for

0:25:43.400 --> 0:25:47.480
<v Speaker 3>AI brings through a whole other power demand picture that

0:25:47.480 --> 0:25:50.320
<v Speaker 3>we're seeing a turn to nuclear. Where does startups come in?

0:25:51.400 --> 0:25:53.760
<v Speaker 12>You know, that was the perfect leading for energize.

0:25:54.280 --> 0:25:57.359
<v Speaker 13>The energy demand narrative across the US right now and

0:25:57.359 --> 0:26:01.840
<v Speaker 13>globally is unparallel, and it's the answer to the power.

0:26:01.840 --> 0:26:04.240
<v Speaker 12>Where's the power come from? Isn't all the above?

0:26:04.440 --> 0:26:07.520
<v Speaker 13>It is natural gas, it is solar, its wind, its batteries,

0:26:07.880 --> 0:26:12.040
<v Speaker 13>it's all the technologies energize capital. At our HeartWare Climate

0:26:12.080 --> 0:26:15.040
<v Speaker 13>Solutions investment firm, we look at investing in the intersection

0:26:15.200 --> 0:26:18.479
<v Speaker 13>of software and climate, and our belief is that there

0:26:18.480 --> 0:26:21.720
<v Speaker 13>are these amazing mega trends. There's data centers, there's AI,

0:26:22.200 --> 0:26:26.920
<v Speaker 13>there's energy transition and mobility, there's circular economy reshoring all

0:26:26.960 --> 0:26:29.560
<v Speaker 13>these areas, and generally we look to find ways to

0:26:29.600 --> 0:26:31.800
<v Speaker 13>index to those mega trends in a capital light way.

0:26:32.200 --> 0:26:34.399
<v Speaker 13>And the energy transition is the most exciting of them

0:26:34.440 --> 0:26:36.600
<v Speaker 13>all right now, like full stop. The amount of capital

0:26:36.720 --> 0:26:39.280
<v Speaker 13>going into the space, the amount of uncertainty and complexity,

0:26:39.920 --> 0:26:43.359
<v Speaker 13>it will reward specialists firms, It will reward specialist investors,

0:26:43.600 --> 0:26:44.520
<v Speaker 13>and that's who we are in.

0:26:44.440 --> 0:26:48.280
<v Speaker 4>The space, specialist and emphasis on software because what we're

0:26:48.280 --> 0:26:51.720
<v Speaker 4>talking about right not just the Constellation meta news, but

0:26:51.840 --> 0:26:54.879
<v Speaker 4>Drew Maglino on earlier right with his new company Heron,

0:26:55.440 --> 0:26:58.600
<v Speaker 4>we're talking scale that's in the billions and billions and

0:26:58.640 --> 0:27:01.400
<v Speaker 4>billions of dollars raised, a really big fund, But you're

0:27:01.440 --> 0:27:04.440
<v Speaker 4>looking at the earlier stage. How do you find something

0:27:04.440 --> 0:27:07.520
<v Speaker 4>that's worthwhile when all of that scale of activity is

0:27:07.560 --> 0:27:07.919
<v Speaker 4>going on.

0:27:09.200 --> 0:27:10.679
<v Speaker 12>Yeah, that's a great question.

0:27:11.359 --> 0:27:14.000
<v Speaker 13>The way we've thought about it is the energy transition

0:27:14.200 --> 0:27:16.680
<v Speaker 13>is today, and so there should be budget today. We're

0:27:16.720 --> 0:27:19.040
<v Speaker 13>not looking for these technologies that will be ready in

0:27:19.080 --> 0:27:21.600
<v Speaker 13>ten or twenty or thirty years. If you have a

0:27:21.600 --> 0:27:23.880
<v Speaker 13>great solution in software, we should be able to find

0:27:23.880 --> 0:27:26.280
<v Speaker 13>a customer for you today that we can diligence. And

0:27:26.320 --> 0:27:28.600
<v Speaker 13>so we're actually seeing inverse of some of the public

0:27:28.640 --> 0:27:31.760
<v Speaker 13>press these days, is companies are getting much bigger, faster

0:27:31.960 --> 0:27:34.760
<v Speaker 13>in the energy and climate transition moment, especially in the

0:27:34.800 --> 0:27:37.080
<v Speaker 13>software layer where they can scale, not just in the

0:27:37.160 --> 0:27:40.280
<v Speaker 13>US where there's energy demand, but you know internationally as well,

0:27:40.280 --> 0:27:42.720
<v Speaker 13>where there may be a few more markets that are

0:27:42.720 --> 0:27:44.920
<v Speaker 13>more favorable to some of these new technologies.

0:27:47.040 --> 0:27:50.240
<v Speaker 4>Where are these companies geographically.

0:27:50.160 --> 0:27:52.520
<v Speaker 13>Yeah, so historically about a third of our investments have

0:27:52.600 --> 0:27:55.560
<v Speaker 13>come outside the US, but we are predominantly US in

0:27:55.640 --> 0:27:58.119
<v Speaker 13>terms of where we focus. The US is still the

0:27:58.119 --> 0:28:00.840
<v Speaker 13>innovation hotbed for the energy transition. And what I like

0:28:00.960 --> 0:28:03.959
<v Speaker 13>to say is that you know, demand requires innovation, and

0:28:04.000 --> 0:28:06.640
<v Speaker 13>this is the economy of demand. This is the economy

0:28:06.680 --> 0:28:09.080
<v Speaker 13>where we're looking for the next generation tools to serve

0:28:09.119 --> 0:28:12.359
<v Speaker 13>these ai the hyperscalers like you mentioned, to serve the

0:28:12.440 --> 0:28:14.880
<v Speaker 13>complexity of the grid and generally, if we can solve

0:28:14.880 --> 0:28:18.960
<v Speaker 13>it here, those technologies do emerge in other areas around

0:28:19.000 --> 0:28:19.359
<v Speaker 13>the world.

0:28:19.560 --> 0:28:22.800
<v Speaker 3>Yeah, John, just talk to us about how you're seeing

0:28:22.840 --> 0:28:25.480
<v Speaker 3>around the world work, how you're seeing the startup ecosystem

0:28:25.560 --> 0:28:27.720
<v Speaker 3>build out, whether you actually just really want to bring

0:28:27.760 --> 0:28:29.520
<v Speaker 3>it into home where you allocate the money.

0:28:30.440 --> 0:28:30.680
<v Speaker 12>Yeah.

0:28:30.760 --> 0:28:32.760
<v Speaker 13>Yeah, So for us, the international markets have been a

0:28:32.800 --> 0:28:37.080
<v Speaker 13>source of great deals, just as we said before, but fundamentally,

0:28:37.119 --> 0:28:39.520
<v Speaker 13>even when we partner with those European firms, they're looking

0:28:39.560 --> 0:28:41.920
<v Speaker 13>for access to the US markets. This is the area

0:28:41.960 --> 0:28:44.320
<v Speaker 13>of you know, American energy dominance has become the theme

0:28:44.680 --> 0:28:47.280
<v Speaker 13>and it's real. You know, there's big budgets there, there's

0:28:47.320 --> 0:28:49.840
<v Speaker 13>people in the there's firms in the technology space spending

0:28:49.880 --> 0:28:50.440
<v Speaker 13>more money.

0:28:50.280 --> 0:28:52.360
<v Speaker 12>Than utilities and capex, and so.

0:28:52.320 --> 0:28:54.280
<v Speaker 13>What we're doing is we're trying to find these amazing

0:28:54.320 --> 0:28:57.080
<v Speaker 13>companies who can serve the space, help them scale. You know,

0:28:57.160 --> 0:28:59.280
<v Speaker 13>to fifty one hundred and two hundred million of revenue

0:28:59.320 --> 0:29:04.200
<v Speaker 13>and beyond and ultimately be successful public public firms. One

0:29:04.200 --> 0:29:05.920
<v Speaker 13>of those examples, just to hit on at home, is

0:29:05.920 --> 0:29:09.400
<v Speaker 13>the firm called Nearer Energy, a great example of energized thesis.

0:29:09.640 --> 0:29:13.000
<v Speaker 13>We you know, we love the concept of a complex

0:29:13.120 --> 0:29:16.440
<v Speaker 13>energy grid. There's there's natural gas going on, and there's whin,

0:29:16.520 --> 0:29:18.760
<v Speaker 13>there's solar and the other side of the equation. We

0:29:18.840 --> 0:29:22.920
<v Speaker 13>have data centers, we have big new buildings, we have electrication, mobility,

0:29:22.960 --> 0:29:26.560
<v Speaker 13>all taxing the grid. NIRA finds a way to aggregate

0:29:26.600 --> 0:29:30.280
<v Speaker 13>all of that complexity and make interconnection QUEU management, you know,

0:29:30.360 --> 0:29:34.880
<v Speaker 13>recommendations for the grid operators, incredibly powerful software AI based

0:29:34.960 --> 0:29:36.680
<v Speaker 13>you know, a y now moment, and we're excited to

0:29:36.720 --> 0:29:37.720
<v Speaker 13>back them.

0:29:37.840 --> 0:29:40.560
<v Speaker 3>What's interesting, you've been allocated as you talk already from

0:29:40.560 --> 0:29:42.640
<v Speaker 3>the fund near at TIBA another one when it comes

0:29:42.680 --> 0:29:46.840
<v Speaker 3>to battery software, John, But the LPs, you've actually got

0:29:46.880 --> 0:29:49.560
<v Speaker 3>some energy infrastructure players, all sort of school ones.

0:29:49.560 --> 0:29:51.560
<v Speaker 2>Do you even ova among them giving you money? What

0:29:51.560 --> 0:29:52.520
<v Speaker 2>do they want in in it?

0:29:53.480 --> 0:29:54.000
<v Speaker 12>Yeah?

0:29:54.000 --> 0:29:56.440
<v Speaker 13>So we're fortunately have this really big swath LP base

0:29:56.520 --> 0:29:59.400
<v Speaker 13>about eighty percent of our LPs, our institutional pension funds

0:29:59.400 --> 0:30:02.640
<v Speaker 13>and doowments o CIOs, and we're also very lucky to

0:30:02.680 --> 0:30:06.200
<v Speaker 13>have this kernel of you know, traditional industrial technology firms

0:30:06.200 --> 0:30:09.160
<v Speaker 13>like like gie Vernova. You know, GE's powering the future

0:30:09.240 --> 0:30:11.120
<v Speaker 13>of a lot of the energy transition and so for us,

0:30:11.120 --> 0:30:14.320
<v Speaker 13>they're a fantastic capital partner and insights partner to help

0:30:14.400 --> 0:30:16.880
<v Speaker 13>us reach you insights into this market in the States

0:30:16.960 --> 0:30:20.320
<v Speaker 13>and also globally. So it's very much a symbiotic relationship

0:30:20.320 --> 0:30:22.960
<v Speaker 13>on how we can return great capital returns but also

0:30:23.040 --> 0:30:23.640
<v Speaker 13>good insights.

0:30:24.880 --> 0:30:27.680
<v Speaker 4>John Toff, Managing partner of Energized Capital. Great to have

0:30:27.760 --> 0:30:29.840
<v Speaker 4>you on the show. Thank you know. Coming up, Trump

0:30:29.920 --> 0:30:32.680
<v Speaker 4>Media has raised two point four to four billion dollars

0:30:32.720 --> 0:30:35.800
<v Speaker 4>to create a bitcoin treasury. We're going to discuss the

0:30:35.880 --> 0:30:38.680
<v Speaker 4>rise of these types of reserves next. For the least

0:30:38.680 --> 0:30:52.640
<v Speaker 4>Clean from still Mark. This is Bloomberg Technology. Trump Media,

0:30:52.760 --> 0:30:55.800
<v Speaker 4>the company behind Truth Social, has raised two point four

0:30:55.800 --> 0:30:59.160
<v Speaker 4>to four billion dollars to buy bitcoin for its treasury.

0:30:59.160 --> 0:31:01.800
<v Speaker 4>It's one of a growing number of companies following Michael

0:31:01.840 --> 0:31:05.320
<v Speaker 4>Sailor's bitcoin buying model at Strategy for More. I want

0:31:05.320 --> 0:31:07.600
<v Speaker 4>to bring in Lease Colleen. She's GP and managing partner

0:31:07.960 --> 0:31:11.720
<v Speaker 4>of still mark, what is the logic, particularly if you

0:31:11.840 --> 0:31:15.480
<v Speaker 4>are the parent company of a social media platform.

0:31:15.880 --> 0:31:20.240
<v Speaker 14>In doing this, we've seen several companies enter the strategy

0:31:20.280 --> 0:31:24.680
<v Speaker 14>recently to become bitcoin treasury companies bitcoin acquirers as their

0:31:24.680 --> 0:31:28.360
<v Speaker 14>core focus. It's important to differentiate that from companies that

0:31:28.440 --> 0:31:31.040
<v Speaker 14>have added bitcoin to the treasury for the purpose of

0:31:31.480 --> 0:31:35.280
<v Speaker 14>diversification or growing the treasury, and the market is differentiating

0:31:35.440 --> 0:31:39.080
<v Speaker 14>between the two. The relative size of the bitcoin treasury

0:31:39.160 --> 0:31:42.520
<v Speaker 14>is important for how it's valued by the market. So

0:31:42.680 --> 0:31:45.880
<v Speaker 14>for bitcoin treasury companies, what we have seen is that

0:31:45.920 --> 0:31:51.480
<v Speaker 14>the market provides differentiation across a few measures. So first

0:31:51.560 --> 0:31:54.800
<v Speaker 14>we see the method to acquire bitcoin being important. Is

0:31:54.840 --> 0:31:58.960
<v Speaker 14>debt used? Is equity sold? And what are the terms

0:31:58.960 --> 0:32:01.920
<v Speaker 14>of the debt. I've also seen that brand and trust

0:32:01.920 --> 0:32:04.520
<v Speaker 14>in the management team is important, and I think as

0:32:04.520 --> 0:32:09.000
<v Speaker 14>a space matures, having a bitcoin business that generates yield

0:32:09.040 --> 0:32:11.320
<v Speaker 14>across market cycles will also be Valudle.

0:32:11.360 --> 0:32:16.640
<v Speaker 4>That's interesting though, because that name is particularly volatile from

0:32:16.680 --> 0:32:20.840
<v Speaker 4>its equity perspective. From the stock story, what does it

0:32:20.920 --> 0:32:25.120
<v Speaker 4>tell you about bitcoin? You know that it's held on

0:32:25.160 --> 0:32:28.480
<v Speaker 4>a balance sheet in treasury. That the long term view

0:32:28.520 --> 0:32:29.920
<v Speaker 4>of what will happen with bitcoin.

0:32:30.520 --> 0:32:33.120
<v Speaker 14>It says that bitcoin has really matured. So with the

0:32:33.120 --> 0:32:37.160
<v Speaker 14>introduction of bitcoin and the acceptance of the Bitcoin spot ETF,

0:32:38.200 --> 0:32:44.880
<v Speaker 14>we saw the Wall Street investors really identify bitcoin as

0:32:44.920 --> 0:32:49.560
<v Speaker 14>an asset that belongs in people's portfolios, institutional portfolios, and

0:32:49.640 --> 0:32:53.440
<v Speaker 14>that is different and distinct from other crypto assets. Now,

0:32:53.480 --> 0:32:57.360
<v Speaker 14>as bitcoin has matured, the bitcoin treasury strategy is doing

0:32:57.400 --> 0:33:01.040
<v Speaker 14>the same. Of course, this is something but is multiple

0:33:01.040 --> 0:33:03.680
<v Speaker 14>players enter We are beginning to understand how the market

0:33:03.720 --> 0:33:09.320
<v Speaker 14>will value this strategy. We've seen the emergence of new metrics.

0:33:09.320 --> 0:33:13.120
<v Speaker 14>In fact, and in early May, Blockstream CEO introduced a

0:33:13.200 --> 0:33:18.720
<v Speaker 14>really interesting metric for evaluating bitcoin treasury strategy companies and

0:33:18.760 --> 0:33:25.400
<v Speaker 14>their execution and that's pace of m nav cover And

0:33:25.440 --> 0:33:28.280
<v Speaker 14>so what that means is well, taking a step back,

0:33:28.800 --> 0:33:34.000
<v Speaker 14>m nav is a metric that measures companies bitcoin net

0:33:34.040 --> 0:33:38.880
<v Speaker 14>asset value. It's calculated by dividing enterprise value by the

0:33:38.880 --> 0:33:44.240
<v Speaker 14>company's bitcoin NAV and months to m nav cover is

0:33:44.880 --> 0:33:47.520
<v Speaker 14>a measure of the pace with which a company can

0:33:47.560 --> 0:33:51.640
<v Speaker 14>acquire bitcoin to justify the premium. So if the market,

0:33:51.880 --> 0:33:55.720
<v Speaker 14>if the market notes that a company has grown their

0:33:55.760 --> 0:33:59.800
<v Speaker 14>bitcoin per share two x over the past eighteen months,

0:33:59.800 --> 0:34:04.400
<v Speaker 14>for example, as micro Strategy has that can justify to

0:34:04.640 --> 0:34:06.000
<v Speaker 14>xpunium at least.

0:34:06.160 --> 0:34:07.800
<v Speaker 3>What's interesting is, of course you've been in this game

0:34:07.840 --> 0:34:10.000
<v Speaker 3>for a very long time, nor meaning to age. You've

0:34:10.000 --> 0:34:12.239
<v Speaker 3>been like twenty thirteen, that was just five years after

0:34:12.239 --> 0:34:14.440
<v Speaker 3>the white paper on bitcoin, and you come in starting

0:34:14.440 --> 0:34:17.640
<v Speaker 3>studying it from an institutional perspective. The store of value

0:34:17.719 --> 0:34:19.920
<v Speaker 3>we now see being played out in terms of having

0:34:19.960 --> 0:34:23.719
<v Speaker 3>it on treasury, but what about actually as a decentralized

0:34:23.719 --> 0:34:25.640
<v Speaker 3>finance use case as well, because that's where you've been

0:34:25.640 --> 0:34:26.600
<v Speaker 3>focusing investments.

0:34:27.800 --> 0:34:31.400
<v Speaker 14>We've seen companies in the bitcoin as a store of

0:34:31.440 --> 0:34:35.759
<v Speaker 14>value and investment space be pulled into providing other services

0:34:36.200 --> 0:34:39.280
<v Speaker 14>and a more full banking experience for their user base,

0:34:39.360 --> 0:34:43.479
<v Speaker 14>both for retail users and for institutional clients. By that,

0:34:43.560 --> 0:34:48.880
<v Speaker 14>we've seen users demand and successfully received from these companies'

0:34:49.200 --> 0:34:53.880
<v Speaker 14>tools for lending, for borrowing, for yield generation, so that

0:34:53.960 --> 0:34:58.840
<v Speaker 14>they can be fully banked by their bitcoin providers, the

0:34:58.880 --> 0:35:02.879
<v Speaker 14>companies that they've trusted to onboard to bitcoin with. Now,

0:35:02.920 --> 0:35:07.040
<v Speaker 14>what we're seeing as the technology as technologies have matured,

0:35:07.440 --> 0:35:11.239
<v Speaker 14>is the introdiction of not just traditional finance tools but

0:35:11.360 --> 0:35:15.560
<v Speaker 14>also DeFi tools. Those that have been tested and seeing

0:35:16.040 --> 0:35:20.440
<v Speaker 14>early product market fit in crypto spaces have matured to

0:35:20.560 --> 0:35:25.279
<v Speaker 14>launch on bitcoin to provide to centralize finance all the

0:35:25.320 --> 0:35:29.040
<v Speaker 14>same borrowing lending, but in a manner in which is

0:35:29.080 --> 0:35:33.719
<v Speaker 14>more consistent with crypto principles ematuration.

0:35:34.080 --> 0:35:37.920
<v Speaker 3>Elise Colleen, founder, a managing partner at Stillmark, we appreciate

0:35:38.000 --> 0:35:39.080
<v Speaker 3>you on all things bigcoin.

0:35:46.400 --> 0:35:47.000
<v Speaker 2>Snowflake.

0:35:47.120 --> 0:35:49.880
<v Speaker 3>It is in full summit mode this week, which means

0:35:49.920 --> 0:35:52.520
<v Speaker 3>it is making a slower product and M and A announcements.

0:35:52.560 --> 0:35:55.080
<v Speaker 3>One of those is his acquisition of Crunchy Data. It's

0:35:55.080 --> 0:35:58.240
<v Speaker 3>a provider of trusted, open source postcress technology and products

0:35:58.320 --> 0:36:00.600
<v Speaker 3>that's basically for data management. I've caught up with a

0:36:00.640 --> 0:36:03.360
<v Speaker 3>Snowfake CEO, shoot A Ramaswami at the start of the

0:36:03.400 --> 0:36:04.319
<v Speaker 3>summit on this news.

0:36:05.080 --> 0:36:09.600
<v Speaker 15>All applications that require backing stores we call them transactional stores,

0:36:10.239 --> 0:36:14.160
<v Speaker 15>and Crunchy Data is really about providing a world class

0:36:14.200 --> 0:36:17.160
<v Speaker 15>postcraft offering for customers.

0:36:16.760 --> 0:36:17.800
<v Speaker 6>Right within Snowflake.

0:36:17.840 --> 0:36:20.880
<v Speaker 15>If you think of creating an agent KI application, you

0:36:21.000 --> 0:36:24.319
<v Speaker 15>need someplace to store those interactions to then retrieve them

0:36:24.440 --> 0:36:28.160
<v Speaker 15>to answer follow on questions. That's what Country Data does.

0:36:28.440 --> 0:36:31.960
<v Speaker 15>It is an enterprise grade database that's going to make

0:36:32.000 --> 0:36:37.720
<v Speaker 15>it much easier for developers to create applications including agentic

0:36:37.800 --> 0:36:39.040
<v Speaker 15>ones on top of snowflick.

0:36:39.560 --> 0:36:42.240
<v Speaker 2>What is it like doing M and A right now?

0:36:42.320 --> 0:36:44.879
<v Speaker 2>How do those conversations start? How willing do you think

0:36:44.880 --> 0:36:46.160
<v Speaker 2>the investor base is to see it?

0:36:48.120 --> 0:36:51.719
<v Speaker 15>I think investors are open to M and A and

0:36:51.760 --> 0:36:54.920
<v Speaker 15>we are pretty thoughtful in how we do acquisitions. We

0:36:55.000 --> 0:37:00.200
<v Speaker 15>don't do reckless multi billion dollar acquisitions. By bringing in

0:37:00.239 --> 0:37:04.680
<v Speaker 15>products that serve a clear product need, quickly integrating them

0:37:04.920 --> 0:37:08.279
<v Speaker 15>taking them to market, we're doing a really good job

0:37:08.320 --> 0:37:11.800
<v Speaker 15>with acquisitions. Obviously with the Neva acquisition that I came through,

0:37:12.320 --> 0:37:16.279
<v Speaker 15>that technology went into making Snowflake an AI powerhouse, and

0:37:16.320 --> 0:37:19.000
<v Speaker 15>a more recent acquisition, Datavolo, is going to come out

0:37:19.040 --> 0:37:21.200
<v Speaker 15>as open Flow, which is going to make it really

0:37:21.280 --> 0:37:25.120
<v Speaker 15>easy for our customers to bring data both from unstructured

0:37:25.160 --> 0:37:28.839
<v Speaker 15>data systems think SharePoint, think Google Drive, and so much

0:37:28.880 --> 0:37:31.560
<v Speaker 15>more and make it really easy for them to bring

0:37:31.640 --> 0:37:34.520
<v Speaker 15>data and cruntry data. Is next in the series of

0:37:34.560 --> 0:37:38.640
<v Speaker 15>acquisitions that is going to fulfill a big open.

0:37:38.400 --> 0:37:39.600
<v Speaker 4>Need that we have.

0:37:40.000 --> 0:37:42.440
<v Speaker 15>We feel good about the acquisitions that we're doing and

0:37:42.480 --> 0:37:45.480
<v Speaker 15>the value that help us create for both our customers

0:37:45.520 --> 0:37:46.840
<v Speaker 15>and also for our investors.

0:37:47.400 --> 0:37:49.040
<v Speaker 2>MNA brings in talent too.

0:37:49.160 --> 0:37:51.520
<v Speaker 3>Look, that's how you came to Snowflake and have become

0:37:51.520 --> 0:37:54.760
<v Speaker 3>the ultimate CEO. I'm interested by how you are building

0:37:54.840 --> 0:37:56.640
<v Speaker 3>up the talent base right now. You've been hiring a lot.

0:37:56.680 --> 0:37:59.960
<v Speaker 3>What about four hundred workers of late larger sales and marketing.

0:38:00.120 --> 0:38:01.919
<v Speaker 2>Is that the area need to be fund.

0:38:03.480 --> 0:38:03.800
<v Speaker 6>Well.

0:38:04.280 --> 0:38:08.040
<v Speaker 15>We continue to hire pretty briskly. There are variations quarter

0:38:08.040 --> 0:38:10.719
<v Speaker 15>to quarter. I wouldn't look too much into that. We

0:38:10.760 --> 0:38:13.240
<v Speaker 15>feel really good about our business, so we are hiring

0:38:13.400 --> 0:38:17.240
<v Speaker 15>in all the key functions in engineering and product for sure,

0:38:17.760 --> 0:38:21.439
<v Speaker 15>but also in sales and marketing because we feel good

0:38:21.560 --> 0:38:25.640
<v Speaker 15>about our ability to turn that into into revenue. Our

0:38:25.719 --> 0:38:29.760
<v Speaker 15>company is still growing exceptionally well. We guided to twenty

0:38:29.760 --> 0:38:33.600
<v Speaker 15>five percent for the year and showed no deceleration from

0:38:33.680 --> 0:38:36.400
<v Speaker 15>Q four to Q one. All of that wants to

0:38:36.440 --> 0:38:39.680
<v Speaker 15>make us invest in the business. We're also responsible. We

0:38:39.920 --> 0:38:42.560
<v Speaker 15>practice what we preach. There are a lot of agentic

0:38:42.600 --> 0:38:47.600
<v Speaker 15>AI applications inside Snowflake that is making us all me included,

0:38:47.880 --> 0:38:50.359
<v Speaker 15>more efficient in terms of how we do our day

0:38:50.360 --> 0:38:53.719
<v Speaker 15>to day jobs. It's that combination of being right at

0:38:53.760 --> 0:38:58.200
<v Speaker 15>the center of the enterprise AI revolution combined with this

0:38:58.239 --> 0:39:01.200
<v Speaker 15>willingness to use AI ourselves to make things smart efficient

0:39:01.320 --> 0:39:03.840
<v Speaker 15>that make us really feel good about the future of

0:39:03.880 --> 0:39:04.560
<v Speaker 15>that's gonna.

0:39:05.719 --> 0:39:10.080
<v Speaker 4>Snowflake CEO Shreida Ramaswami. Let's take a look at HPE shares.

0:39:10.160 --> 0:39:13.319
<v Speaker 4>This is its schedule to report second quarter results after

0:39:13.360 --> 0:39:16.760
<v Speaker 4>the market close today. Morgan Stanley expects a mixed report,

0:39:16.840 --> 0:39:20.239
<v Speaker 4>especially for the company's server business. The firm noted and

0:39:20.360 --> 0:39:23.480
<v Speaker 4>uncertain backdrop given tariffs, but said there was a flaw

0:39:23.680 --> 0:39:27.960
<v Speaker 4>under the stock given Elliott Investment Manager's stake in the company.

0:39:28.400 --> 0:39:29.399
<v Speaker 4>AI story as well.

0:39:29.480 --> 0:39:32.719
<v Speaker 3>Cara, Yeah, and another earnings one for you at CrowdStrike

0:39:32.880 --> 0:39:35.360
<v Speaker 3>Releasing and he's after the market close. That Alice a

0:39:35.400 --> 0:39:39.000
<v Speaker 3>pretty optimistic Redbush, for example, raising its target price ahead

0:39:39.000 --> 0:39:39.560
<v Speaker 3>of the report.

0:39:40.040 --> 0:39:41.920
<v Speaker 2>For more and what to expectlet's.

0:39:41.480 --> 0:39:43.960
<v Speaker 3>Bring a blue meg Intelligence is Mandat sing I can't

0:39:43.960 --> 0:39:47.840
<v Speaker 3>believe it's been almost a year since the disaster for

0:39:47.920 --> 0:39:50.320
<v Speaker 3>CrowdStrike taking so many people offline.

0:39:50.360 --> 0:39:51.520
<v Speaker 2>How are they looking now?

0:39:51.880 --> 0:39:54.640
<v Speaker 16>I mean they have recovered well in terms of, you know,

0:39:54.800 --> 0:39:58.400
<v Speaker 16>making sure they don't ended up losing a lot of customers.

0:39:58.440 --> 0:40:00.400
<v Speaker 16>So at the same time, when I look at the

0:40:00.480 --> 0:40:03.640
<v Speaker 16>net new err, which is a key metric they report on.

0:40:04.080 --> 0:40:06.600
<v Speaker 16>It's still negative, so it's not as if they've been

0:40:06.640 --> 0:40:09.880
<v Speaker 16>adding more business than they were adding a year ago.

0:40:10.840 --> 0:40:13.600
<v Speaker 16>Sot net. Look, there are a lot of changes happening

0:40:13.680 --> 0:40:17.399
<v Speaker 16>in the cybersecurity space because of generative AI. I mean,

0:40:17.480 --> 0:40:20.800
<v Speaker 16>think of all the AI agent deployments at the enterprise level.

0:40:21.080 --> 0:40:24.799
<v Speaker 16>What they're really fearful off is data leaking to these

0:40:24.880 --> 0:40:28.520
<v Speaker 16>large language models, and that's where data security becomes paramount.

0:40:28.560 --> 0:40:32.480
<v Speaker 16>That's where CrowdStrike comes in. So nobody has really talked

0:40:32.480 --> 0:40:35.759
<v Speaker 16>about AI in a big way. Two Alta has mentioned it.

0:40:36.000 --> 0:40:40.400
<v Speaker 16>Z Scaler actually saw a sequential acceleration. So what interesting

0:40:40.560 --> 0:40:44.520
<v Speaker 16>is CrowdStrike, which has got more exposure to SMBs. How

0:40:44.560 --> 0:40:47.080
<v Speaker 16>to have they managed given the volatility in.

0:40:47.040 --> 0:40:50.680
<v Speaker 4>The quarter, Mandy, I'm very excited to talk with you

0:40:50.719 --> 0:40:56.759
<v Speaker 4>about meta securing one and twenty one megawatts capacity nuclear capacity.

0:40:57.320 --> 0:40:59.600
<v Speaker 4>You put a react out. I'm not surprised you did

0:41:00.120 --> 0:41:02.839
<v Speaker 4>go straight to inference and I'm not surprised you did.

0:41:02.880 --> 0:41:04.280
<v Speaker 4>Can you just give us your thesis?

0:41:04.600 --> 0:41:07.480
<v Speaker 16>I mean, look, everyone has called out reasoning being the

0:41:07.520 --> 0:41:11.520
<v Speaker 16>primary driver of additional compute. They're not talking about scaling,

0:41:11.640 --> 0:41:14.960
<v Speaker 16>laws and training anymore. It's all about reasoning at the

0:41:15.080 --> 0:41:18.200
<v Speaker 16>time of you know, submitting the query that the model

0:41:18.280 --> 0:41:20.799
<v Speaker 16>is thinking a lot more. And in the case of Meta,

0:41:20.880 --> 0:41:24.400
<v Speaker 16>they're serving three billion monthly active users. If they have

0:41:24.440 --> 0:41:27.800
<v Speaker 16>to roll out generative AI to this three billion monthly

0:41:27.840 --> 0:41:31.160
<v Speaker 16>active user base like Google has done with AI overviews,

0:41:31.480 --> 0:41:33.919
<v Speaker 16>they need a lot of compute. And that's why, even

0:41:33.960 --> 0:41:37.720
<v Speaker 16>if you think training is not as much of a driver,

0:41:38.239 --> 0:41:42.360
<v Speaker 16>inferencing and reasoning is a driver because of the power density.

0:41:42.400 --> 0:41:45.440
<v Speaker 16>And look, they're trying to get as much energy as

0:41:45.440 --> 0:41:48.560
<v Speaker 16>they can because they've raised their capex. They've got a

0:41:48.600 --> 0:41:52.400
<v Speaker 16>lot of Nvidio GPUs. How do you utilize those GPUs

0:41:52.400 --> 0:41:55.040
<v Speaker 16>one hundred percent capacity? You need the power and so

0:41:55.320 --> 0:41:57.680
<v Speaker 16>they're just being proactive here in terms of sourcing that.

0:41:57.800 --> 0:41:59.360
<v Speaker 2>Power thirty seconds.

0:41:59.360 --> 0:42:01.680
<v Speaker 3>How much can to look to different ways of using

0:42:01.680 --> 0:42:04.640
<v Speaker 3>infrastructure like we had Grocon recently, which are trying to

0:42:04.640 --> 0:42:06.560
<v Speaker 3>be the chip for inference that.

0:42:06.640 --> 0:42:08.719
<v Speaker 2>Is less power hungry than an Nvidio for exap.

0:42:08.760 --> 0:42:11.879
<v Speaker 16>Yeah, look in video will tell you they are optimizing

0:42:11.920 --> 0:42:14.680
<v Speaker 16>for power in their latest black LL chip as well.

0:42:14.719 --> 0:42:17.840
<v Speaker 16>So clearly everyone is trying to solve the power equation.

0:42:18.239 --> 0:42:21.520
<v Speaker 16>But there is nothing like having the power source to

0:42:21.640 --> 0:42:24.520
<v Speaker 16>their data center. And you know that's a good situation

0:42:24.600 --> 0:42:27.280
<v Speaker 16>to be in, especially when you're spending seventy billion dollars

0:42:27.320 --> 0:42:31.040
<v Speaker 16>a year, which is three times your historical capex, so

0:42:31.400 --> 0:42:33.279
<v Speaker 16>you don't want power to be the bottomneck.

0:42:34.200 --> 0:42:37.400
<v Speaker 4>Those are the numbers that matter, Bloomberg Intelligence Senior Analyst

0:42:37.440 --> 0:42:40.279
<v Speaker 4>Man Deep saying, with the bi react on that metadal.

0:42:40.800 --> 0:42:43.000
<v Speaker 4>That does it for this edition of Bloomberg Technology.

0:42:43.440 --> 0:42:45.040
<v Speaker 2>Do not forget to check out the podcast.

0:42:45.040 --> 0:42:46.640
<v Speaker 3>You'll find it on the terminal as well as online

0:42:46.680 --> 0:42:48.360
<v Speaker 3>on Apple, Spotify, and iHeart.

0:42:48.520 --> 0:42:50.640
<v Speaker 2>And we're flying out to you in a few hours time.

0:42:50.760 --> 0:42:53.080
<v Speaker 2>End can't wait to be back in San Francisco for

0:42:53.120 --> 0:42:54.719
<v Speaker 2>the summit. This is Bloomberg Technology.